Index
A
- accuracy, monitoring for spam filter, Precision and Recall: Spam Filter
- activation functions, Activation functions
- Elliott function, Tuning the Neural Network
- sigmoid function, Activation functions
- sloped or periodic, Activation functions
- ActiveRecord, The Tools We Will Need
- aggregation, emphasizing over expansion in Neural Networks, How Many Neurons for Each Layer?
- ai4r gem, Analyzing the Data with K-Means
- Artificial Neural Networks, What Is an Artificial Neural Network?
- (see also Neural Networks)
- AT&T facial database, Bootstrapping the neighborhood with faces
- attributes, combining into mutually exclusive classes, Determining Classes
- attrition rate, Tracking User Behavior Using State Machines
- avatar, extracting from a raw image, Raw Image to Avatar
B
- Back Propagation algorithm, Back Propagation
- Bain, Alexander, History of Neural Networks
- Bay, Herbert, The Face Class
- Bayes' theorem, Inverse Conditional Probability (aka Bayes’ Theorem), Building the Bayesian classifier
- (see also Naive Bayesian Classification)
- Bayes, Thomas, Inverse Conditional Probability (aka Bayes’ Theorem)
- Bayesian classifier, building, Building the Bayesian classifier
- calculating a classification, Calculating a classification
- score method, Building the Bayesian classifier
- beard and glasses detection using KNN and OpenCV, Beard and Glasses Detection Using KNN and OpenCV
- class diagram, The Class Diagram
- face class, The Face Class
- Neighborhood class, The Neighborhood Class
- bootstrapping the neighborhood with faces, Bootstrapping the ...
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